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Self-service query statistics analysis method based on natural language processing

A technology of natural language processing and query statistics, applied in the field of power communication, can solve the problems of power communication data query statistics analysis delay, low efficiency, poor user experience, etc., and achieve the effect of fast and flexible data configuration

Inactive Publication Date: 2018-03-20
NANJING NARI GROUP CORP +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies in the prior art, to provide a self-service query statistical analysis method based on natural language processing, to solve the delay, lack of agility, poor user experience, inefficient technical issues

Method used

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  • Self-service query statistics analysis method based on natural language processing
  • Self-service query statistics analysis method based on natural language processing
  • Self-service query statistics analysis method based on natural language processing

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0028] Such as figure 1 Shown, is flow chart of the present invention, specifically comprises the following steps:

[0029] Construct power communication data query statistical analysis rule base, knowledge base, and corpus;

[0030] Analyze and summarize power communication data, sort out various data elements, and combine various standards and specifications, natural language processing, and multidimensional statistical analysis models to generate rule bases, knowledge bases, and corpus;

[0031] The data elements include: data tables, data classifications, data fields, association relationships, data dictionaries, and data types;

[0032] The standard specification includes: resource namin...

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Abstract

The invention discloses a self-service query statistics analysis method based on natural language processing. The method comprises the steps that a power communication data query statistics analysis rule base, a knowledge base and a corpus are constructed; a multi-dimensional data query statistic analysis model for power communication standardization and programming is established; a query statistics analysis statement or a paragraph is input, a query statistics analysis natural language processing task is formed, and a semantic dependency tree is generated; each element in the semantic dependency tree corresponds to a query statistic analysis model, a structured query statement is generated through matching of the rule base and the knowledge base, and finally a query statistics analysis result set is generated. According to the method, self-defined, fast and flexible data configuration, processing, analysis and management can be supported, automatic and intelligent planning and designof a communication network can be achieved, and the operation and maintenance level is improved.

Description

technical field [0001] The invention relates to a self-service query statistical analysis method based on natural language processing, which belongs to the technical field of electric power communication. Background technique [0002] At present, in the actual application process of communication professional data query statistical analysis, it mainly relies on the existing electronic documents and the fixed query statistical conditions of the communication management system to output data analysis results, or through the business intelligence (BI) decision-making system, the business personnel put forward query statistics requirements, Manufacturers’ technicians output the data analysis results required by users through complex manual processing in the decision-making system. Although this supplier / user business intelligence method seems to be competent for the task of centrally organizing data and improving consistency, it sacrifices Business agility and flexibility are co...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/24522G06F40/289G06F40/30
Inventor 魏训虎陆涛查凡吴德胜吴选章王宏丁雍巢玉坚胡游君邱玉祥施健马远东蔡新忠杨旭斌王锦杰刘皓刘洋夏云邓伟黄峰王泉啸甘岚
Owner NANJING NARI GROUP CORP
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